Blar i Artikler, kapitler og presentasjoner fra NORCE Energi og teknologi på tittel
Viser treff 4-23 av 206
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A flexible autonomous robotic observatory infrastructure for bentho-pelagic monitoring
(Peer reviewed; Journal article, 2020)This paper presents the technological developments and the policy contexts for the project “Autonomous Robotic Sea-Floor Infrastructure for Bentho-Pelagic Monitoring” (ARIM). The development is based on the national ... -
A laboratory scale approach to wettability restoration in chalk core samples
(Peer reviewed; Journal article, 2019)Wettability in chalk has been studied comprehensively to understand fluid flow mechanisms impacting coreflooding experiments. Wettability becomes paramount in understanding the parameters influencing chalk-fluid interactions. ... -
A new framework for assessing subject-specific whole brain circulation and perfusion using MRI-based measurements and a multi-scale continuous flow model
(Peer reviewed; Journal article, 2019)A large variety of severe medical conditions involve alterations in microvascular circulation. Hence, measurements or simulation of circulation and perfusion has considerable clinical value and can be used for diagnostics, ... -
A pore-scale model for permeable biofilm: Numerical simulations and laboratory experiments
(Peer reviewed; Journal article, 2018)In this paper, we derive a pore-scale model for permeable biofilm formation in a two-dimensional pore. The pore is divided into two phases: water and biofilm. The biofilm is assumed to consist of four components: water, ... -
Accounting for model errors of rock physics models in 4D seismic history matching problems: A perspective of machine learning
(Journal article; Peer reviewed, 2021)Model errors are ubiquitous in practical history matching problems. A common approach in the literature to accounting for model errors is to treat them as random variables following certain presumed distributions. While ... -
Acoustic characterization of an artificial CO2 seep using split-beam echo sounders
(Journal article; Peer reviewed, 2019)Geological carbon storage (GCS) has emerged as a promising method for reducing greenhouse gas emissions and achieving international climate goals. Currently, sub-seafloor GCS sites sequester about 1.8 MtCO2/yr. Additional ... -
Acoustic emission based condition monitoring study of piston rod seals by varying speed and pressure parameters
(Peer reviewed; Journal article, 2020)Seal wear is one of the primitive causes of failure in hydraulic cylinders. Regular visual inspection of seals without affecting the productivity is difficult as the seals are placed internally in the hydraulic cylinder ... -
Acoustic Emission-Based Condition Monitoring and Remaining Useful Life Prediction of Hydraulic Cylinder Rod Seals
(Peer reviewed; Journal article, 2021)The foremost reason for unscheduled maintenance of hydraulic cylinders in industry is caused by wear of the hydraulic seals. Therefore, condition monitoring and subsequent estimation of remaining useful life (RUL) methods ... -
Adaptive Elements in Internet-Delivered Psychological Treatment Systems: Systematic Review
(Journal article; Peer reviewed, 2020)Background: Internet-delivered psychological treatments (IDPTs) are built on evidence-based psychological treatment models, such as cognitive behavioral therapy, and are adjusted for internet use. The use of internet ... -
Adaptive Systems for Internet-Delivered Psychological Treatments
(Peer reviewed; Journal article, 2020)Internet-Delivered Psychological Treatments (IDPT) are based on evidence-based psychological treatment models adjusted for interaction through the Internet. The use of Internet technologies has the potential to increase ... -
Advancing Deep Learning to Improve Upstream Petroleum Monitoring
(Peer reviewed; Journal article, 2019)Data analytics is rapidly growing field in both academia and industry dealing with processing and interpreting large and complex data sets. It has got already many successful applications via advancing machine (ML) and ... -
An Upscaled Model for Permeable Biofilm in a Thin Channel and Tube
(Peer reviewed; Journal article, 2020)In this paper, we derive upscaled equations for modeling biofilm growth in porous media. The resulting macroscale mathematical models consider permeable multi-species biofilm including water flow, transport, detachment and ... -
Arctic sea ice mass balance in a new coupled ice–ocean model using a brittle rheology framework
(Peer reviewed; Journal article, 2023)Sea ice is a key component of the Earth's climate system as it modulates the energy exchanges and associated feedback processes at the air–sea interface in polar regions. These exchanges have been suggested to strongly ... -
Assimilation of multiple linearly dependent data vectors
(Peer reviewed; Journal article, 2019)Assimilation of a sequence of linearly dependent data vectors, {dl}Ll=1 such that dl=BldLL−1l=1 , is considered for a parameter estimation problem. Such a data sequence can occur, for example, in the context of multilevel ... -
Attention integrated hierarchical networks for no-reference image quality assessment
(Peer reviewed; Journal article, 2022)Quality assessment of natural images is influenced by perceptual mechanisms, e.g., attention and contrast sensitivity, and quality perception can be generated in a hierarchical process. This paper proposes an architecture ... -
Automated and Rapid Seal Wear Classification Based on Acoustic Emission and Support Vector Machine
(Journal article; Peer reviewed, 2021)Seal wear in hydraulic cylinders results in fluid leakage, and instability of the piston rod movement. Therefore, regular inspection of seals is required using automated approaches to improve productivity and to reduce ... -
Automated segmentation of endometrial cancer on MR images using deep learning
(Peer reviewed; Journal article, 2021)Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses ... -
Automatic length estimation of free-swimming fish using an underwater 3D range-gated camera
(Peer reviewed; Journal article, 2022)Camera estimation of fish size in aquaculture production and fisheries is crucial for enabling knowledge-based decision making. Automatic estimation of fish lengths on an individual and population basis are key steps to ... -
Automatic Measurement of the Dependence on Pressure and Temperature of the Mass Density of Drilling Fluids
(Peer reviewed; Journal article, 2022)Drilling fluids are subject to substantial variations in pressure and temperature while they are circulated in a well. These changes are so great that the mass density of the drilling fluid varies significantly during ... -
Autonomous Decision-Making While Drilling
(Journal article; Peer reviewed, 2021)The drilling process is complex because unexpected situations may occur at any time. Furthermore, the drilling system is extremely long and slender, therefore prone to vibrations and often being dominated by long transient ...